\nElementul de noutate:
\nPrin folosirea de re\u0163ele neuronale pentru a detecta cauzele problemelor din cadrul infrastructurii IT, compania introduce conceptele de inteligen\u0163\u0103 artificial\u0103 (AI) \u015fi supervised learning. Conceptele ad\u0103ugate pentru \u00eembun\u0103t\u0103\u0163irea metodei root cause analysis (RCA) presupun antrenarea componentei inteligente (\u00een acest caz re\u0163eaua neuronal\u0103) folosind feedbackul primit \u015fi comunicarea concluziilor c\u0103tre una sau mai multe persoane pentru a cre\u015fte acurate\u0163ea deciziilor. Prin folosirea re\u0163elei neuronale \u015fi antrenarea acesteia \u00een mod recurent, se poate ajunge la rezultate extrem de precise ce pot fi cel pu\u0163in la fel de corecte ca solu\u0163iile manuale, dar creeaz\u0103 economii semnificative de timp \u015fi resurse.<\/p>\n
\nDescrierea inova\u0163iei:
\nSiscale este o companie IT \u00eenfiin\u0163at\u0103 la \u00eenceputul anului 2015, care dezvolt\u0103 solu\u0163ii de inteligen\u0163\u0103 artificial\u0103 (AI) pentru eficientizarea \u015fi optimizarea opera\u0163iunilor IT. Siscale este cel mai mare partener de pe Coasta de Est a SUA pentru Elastic, compania care a dezvoltat Elasticsearch, considerat cel mai bun motor de c\u0103utare pentru companii. Sediul central al companiei se afl\u0103 la New York, SUA, iar echipa de speciali\u015fti IT este localizat\u0103 aproape \u00een \u00eentregime \u00een Rom\u00e2nia.
\nRoot cause analysis sau RCA este o metod\u0103 ce are ca scop detectarea sursei unei probleme \u00een cadrul unei infrastructuri IT. Ca urmare a interoperabilit\u0103\u0163ii \u00eentre componentele unei infrastructuri IT, orice problem\u0103 ap\u0103rut\u0103 ajunge s\u0103 afecteze numeroase servicii sau aplica\u0163ii, iar detectarea sursei acelei probleme devine dificil\u0103 din cauza num\u0103rului mare de alerte care vin dinspre acele servicii \u015fi aplica\u0163ii. Aplicarea no\u0163iunilor de machine learning (ML) \u00eembun\u0103t\u0103\u0163e\u015fte metoda RCA transform\u00e2nd procesul de detectare a problemei dintr-o metod\u0103 de c\u0103utare \u00een jurnale, care implic\u0103 analiza manual\u0103 a unor volume mari de date, \u00eentr-un proces automatizat, inteligent, bazat pe re\u0163ele neuronale \u015fi algoritmi. Baz\u00e2ndu-se pe alerte colectate, componenta AI analizeaz\u0103 datele \u015fi \u00eencepe s\u0103 \u201ededuc\u0103\u201d poten\u0163ialele cauze ale unor probleme.<\/p>\n
\nEfectele inova\u0163iei:
\nAutomatizarea analizei de cauz\u0103 scade \u00een mod semnificativ efortul necesar pentru analiza ini\u0163ial\u0103 a unor probleme detectate \u015fi poate reduce costurile necesare pentru a se ajunge la o eficien\u0163\u0103 similar\u0103 sau mult mai mare. Aceste avantaje ofer\u0103 noi posibilit\u0103\u0163i pentru echipele IT de a se concentra asupra altor aspecte ale activit\u0103\u0163ilor de zi cu zi, precum posibilitatea de a lucra la progresul individual sau efectuarea de opera\u0163iuni sau implement\u0103ri de solu\u0163ii mai avansate, care necesit\u0103 efort \u015fi concentrare. \u00cen acela\u015fi timp, detec\u0163ia automat\u0103 a cauzei unor probleme ofer\u0103 vizibilitate echipelor responsabile de remediere, \u00eentr-un timp mult mai scurt. Mai exact, timpul constant al analizei efectuate de echipele de remediere va fi redus cu cel pu\u0163in 80% fa\u0163\u0103 de metodele manuale de analiz\u0103 de cauz\u0103, iar timpul \u00een care se garanteaz\u0103 un r\u0103spuns va fi redus cu cel pu\u0163in 50%.<\/p>\n","protected":false},"excerpt":{"rendered":"
Siscale inoveaz\u0103 procesul de detectare a problemelor dintr-o infrastructur\u0103 IT prin integrarea unor elemente de inteligen\u0163\u0103 artificial\u0103 \u015fi machine learning.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[510],"tags":[8225,263,10356,24812,19470,272,246,33467,7442,443,32844,32766,32779,274,362,265,13982,449,14862,193,15947,32882,10338,484,550,8208,8316,7543,395,15,10911,106,19707],"class_list":["post-167321","post","type-post","status-publish","format-standard","hentry","category-actualitate","tag-analiza","tag-aplicatii","tag-cautare","tag-cauza","tag-cauze","tag-companie","tag-crestere","tag-detectare","tag-dezvoltare","tag-echipe","tag-elemente","tag-folosire","tag-implementare","tag-incepere","tag-infrastructura","tag-inovatie","tag-integrare","tag-inteligenta","tag-introducere","tag-it","tag-manuale","tag-metoda","tag-operatiuni","tag-probleme","tag-proces","tag-rca","tag-reducere","tag-retea","tag-retele","tag-servicii","tag-solutii","tag-sua","tag-timp"],"_links":{"self":[{"href":"https:\/\/bm.dev.synology.me\/index.php?rest_route=\/wp\/v2\/posts\/167321","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bm.dev.synology.me\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bm.dev.synology.me\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bm.dev.synology.me\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bm.dev.synology.me\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=167321"}],"version-history":[{"count":0,"href":"https:\/\/bm.dev.synology.me\/index.php?rest_route=\/wp\/v2\/posts\/167321\/revisions"}],"wp:attachment":[{"href":"https:\/\/bm.dev.synology.me\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=167321"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bm.dev.synology.me\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=167321"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bm.dev.synology.me\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=167321"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}